Models/RavenX CyberAgent · 35B-A3B

Agents / RavenX

RavenX CyberAgent · 35B-A3B

A security-focused, open-weight 35B mixture-of-experts model (about 3B active parameters) distributed as GGUF. Run it locally with llama.cpp on Windows, macOS, or Linux, or use a rented RunPod GPU.

Verified sourceSource checked 9/30/2026

LOCALRENTED GPUOPEN WEIGHTS

Freshness 60 out of 100. Repository age: 133 days old, Jun 4, 2026. Measures age, not quality.

Popularity 58 out of 100. 18,756 downloads in 30 days; 189 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.

What do these scores mean?

Two ways to compare models. Neither score measures answer quality, benchmark performance, or whether a model fits your machine.

Freshness · release age

A new release starts at 100. The score halves every 180 days: 100 × 2^(−age in days / 180). When the release date is unavailable, a repository date is a fallback—not proof of when the model was released. Missing dates stay unscored.

Check the date source

Popularity · adoption

Downloads over the past 30 days carry 80% of the score; lifetime likes carry 20%. Both use a logarithmic scale, capped at 10 million downloads and 100,000 likes. If likes are unavailable, downloads carry all the weight. Missing download statistics stay unscored.

round(80 × min(1, log10(1 + downloads) / 7) + 20 × min(1, log10(1 + likes) / 5))

Check the statistics source

Scores as of Oct 15, 2026. Statistics checked Oct 15, 2026. Statistics are marked for refresh after 72 hours.Full scoring method

WORKFLOWS FOR THIS MODEL 1

What do you want to do?

Choose a task. Get the software, files, settings, and steps to run it.

MAKE IT PERSONALChoose your hardware

AI agent

Run RavenX CyberAgent for Authorized AI Pen Testing

Run the publisher’s RavenX Q4_K_M GGUF locally on Windows, macOS, or Linux, or on a rented RunPod GPU. Serve it with llama.cpp and connect an optional agent to a read-only security-review task.

Freshness 60 out of 100. Repository age: 133 days old, Jun 4, 2026. Measures age, not quality.

Hermes Agentllama.cpp

1 packagemacOS / Windows / Linux

Open agent guide

Open a guide for its software, hardware requirements, and setup steps.

At a glance

Parameters: 35B total · ~3B active
Architecture: Qwen 3.6 mixture of experts
License: Apache-2.0
Disk space: 21.7 GB
Software: llama.cpp, RunPod, Hermes Agent

View the model source

MY HARDWARE

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Best for

Private security analysis of code, configuration, scanner output, or lab material you are authorized to review.
A self-hosted OpenAI-compatible endpoint for a compatible client or agent framework.

Tradeoffs

A model response is a hypothesis until independently confirmed; it is not a security test result.
Do not connect autonomous tools to third-party targets. Restrict any agent to an explicitly authorized, isolated scope and keep human approval enabled.
The model card’s performance measurements are from an M4 Max and are not RunPod GPU benchmarks.

Ways to run it

llama.cpp · Windows, macOS, and Linux · local

Publisher-supported GGUF route. GPU fit guidance is estimated; the publisher memory figure is from an Apple M4 Max.

llama serve -hf deadbydawn101/RavenX-CyberAgent-Qwen3.6-35B-A3B-Opus-4.7-OpenMythos-Pentester-BugHunter-RATH-GGUF:Q4_K_M -c 8192 --host 127.0.0.1 --port 8080

Official instructions

llama.cpp · RunPod Linux GPU Pod

Protected rented-GPU route. GPU fit guidance is estimated; the publisher memory figure is from an Apple M4 Max, not a RunPod GPU.

llama serve -hf deadbydawn101/RavenX-CyberAgent-Qwen3.6-35B-A3B-Opus-4.7-OpenMythos-Pentester-BugHunter-RATH-GGUF:Q4_K_M --host 0.0.0.0 --port 8080 -c 32768 --api-key "$RAVENX_API_KEY"

Official instructions

Explore its uses

CYBERSECURITYSECURITY REVIEWAGENTSTOOL CALLINGGGUFLLAMA.CPPRUNPOD

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MODEL SIZE2.8T total · 104B active

LOCALRENTED GPU

Repository opened Jun 13, 2026

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